Find the mean and variance of the continuous random variable X with probability density function given by 3x 4, x ≥ 1, fx(x) = 0, otherwise. A new random variable Y is defined by the relation Y = X-1. Find the cumulative distribution function of Y, and hence derive its probability density function. Verify that, for X and Y as given above, E(XY) ‡ E(X) E(Y), and explain why this result holds in this particular example.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
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Find the mean and variance of the continuous random variable X with probability density
function given by
3x 4, x ≥ 1,
fx(x) =
0,
otherwise.
A new random variable Y is defined by the relation Y = X-¹. Find the cumulative
distribution function of Y, and hence derive its probability density function.
Verify that, for X and Y as given above, E(XY) ‡ E(X) E(Y), and explain why this result
holds in this particular example.
Transcribed Image Text:Find the mean and variance of the continuous random variable X with probability density function given by 3x 4, x ≥ 1, fx(x) = 0, otherwise. A new random variable Y is defined by the relation Y = X-¹. Find the cumulative distribution function of Y, and hence derive its probability density function. Verify that, for X and Y as given above, E(XY) ‡ E(X) E(Y), and explain why this result holds in this particular example.
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